Sheng Qi

5.0k citations
137 papers · 3.9k indexed · h-index 36

Impact in

Papers in

Sheng Qi

132 papers receiving 3.9k citations

Peers

Sheng Qi
Comparison fields: 5 of 163
  • Pharmaceutical Science 1.1k
  • Automotive Engineering 613
  • Biomaterials 469
  • Safety, Risk, Reliability and Quality 246
  • Statistics, Probability and Uncertainty 183
Replace Brian K. Johnson with:
Brian K. Johnson United States
Antonello Barresi Italy
Seong Hoon Jeong South Korea
Nan Zhang China
Hua Li China
José Carlos Pinto Brazil
Walmir Freitas Brazil
Yi Jin China
Chun‐Hung Chen Taiwan
Sanket Goel India
Sheng Qi relative to Brian K. Johnson United States Brian K. Johnson's profile →
Citations per field
00.5×10.2×
Brian K. Johnson · 1×
Citations per year

Countries citing papers authored by Sheng Qi

Since Specialization
Citations

This map shows the geographic impact of Sheng Qi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sheng Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Qi more than expected).

Fields of papers citing papers by Sheng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng Qi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sheng Qi. The network helps show where Sheng Qi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sheng Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheng Qi Line = papers co-authored together Sheng Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20246
4 20240
5 202328
6 202227
7 202230
8 202230
9 202217
10 202133
11 20202
12 202017
13 201928
14 201980
15
Investigation of the mechanical properties of hot-melt extruded filaments for pharmaceutical applications of FDM
20181
16 201638
17 201666
18 201412
19
Detection of phase separation in hot melt extruded solid dispersion formulations: Global vs. localized characterization
20102
20 201091

About Sheng Qi

Sheng Qi is a scholar working on Pharmaceutical Science, Statistics, Probability and Uncertainty, Chemical Health and Safety, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 137 papers that have together received 3.9k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (38 papers), Crystallization and Solubility Studies (24 papers), 3D Printing in Biomedical Research (18 papers), Additive Manufacturing and 3D Printing Technologies (17 papers), Advanced Drug Delivery Systems (14 papers), Combustion and Detonation Processes (13 papers), Risk and Safety Analysis (12 papers) and Advancements in Transdermal Drug Delivery (12 papers). The work is most often cited by research in Pharmaceutical Science (1.1k citations), Automotive Engineering (613 citations), Biomaterials (469 citations), Safety, Risk, Reliability and Quality (246 citations) and Statistics, Probability and Uncertainty (183 citations). Sheng Qi has collaborated with scholars based in United Kingdom, China and Iraq. Frequent co-authors include Peter Belton, Duncan Q.M. Craig, Muqdad Alhijjaj, Dingde Jiang, Ping Nie, Ziyi Yang, Yang Du, Jehad Nasereddin, Yaoyao Zhu and Hongsen Li. Their work appears in journals such as International Journal of Pharmaceutics, Pharmaceutical Research, Journal of Pharmaceutical Sciences, Molecular Pharmaceutics and European Journal of Pharmaceutics and Biopharmaceutics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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